Evidence map›Paper›PMID 33575132›Full record

ArticlePeerJ2021

Metabolic impact of weight variations in Icelandic horses.

Julien Delarocque, Florian Frers, Korinna Huber, Klaus Jung, Karsten Feige, Tobias Warnken

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.3field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Julien DelarocqueClinic for Horses, University of Veterinary Medicine Hannover, Foundation, Hannover, Germany.
Florian FrersClinic for Horses, University of Veterinary Medicine Hannover, Foundation, Hannover, Germany.
Korinna HuberInstitute of Animal Science, Faculty of Agricultural Sciences, Universität Hohenheim, Stuttgart, Germany.
Klaus JungInstitute for Animal Breeding and Genetics, Tierärztliche Hochschule Hannover, Hannover, Germany.
Karsten FeigeClinic for Horses, University of Veterinary Medicine Hannover, Foundation, Hannover, Germany.
Tobias WarnkenClinic for Horses, University of Veterinary Medicine Hannover, Foundation, Hannover, Germany.
University of Veterinary Medicine Hannover, Foundation · DEUniversity of Hohenheim · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInsulin dysregulation (ID) is an equine endocrine disorder, which is often accompanied by obesity and various metabolic perturbations. The relationship between weight variations and fluctuations of the insulin response to oral glucose tests (OGT) as well as the metabolic impact of ID have been described previously. The present study seeks to characterize the concomitant metabolic impact of variations in the insulin response and bodyweight during repeated OGTs using a metabolomics approach.

methodsNineteen Icelandic horses were subjected to five OGTs over one year and their bodyweight, insulin and metabolic response were monitored. Analysis of metabolite concentrations depending on time (during the OGT), relative bodyweight (rWeight; defined as the bodyweight at one OGT divided by the mean bodyweight across all OGTs) and relative insulin response (rAUC

resultsThe results suggested that weight gain and worsening of ID activate distinct metabolic pathways. The metabolic profile associated with weight gain indicated an increased activation of arginase, while the pathways associated with time and rAUC

Indexed as

Equine metabolic syndromeInsulin dysregulationMetabolomicsObesityOral glucose testPathway analysis

Identifiers

PMID33575132
PMCPMC7847705
OpenAlexW3127045267

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.